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Modular environments for scientific visualization are popular for their non-programming approach to 3D graphics. Their design goals include ease of use, completeness, and extensibility, which allow many users to work complerely within the system. Programming extensions draw other users into increasingly complex uses of the environment. With sufficient extensibility, the environment becomes a framework for the process of pursuing a scientific investigation.

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A comparative analysis between human, mouse, and rabbit immunoglobulin (Ig) kappa-gene DNA sequences is presented. New formulas for determining the expected length and variance of the longest block identity (a succession of matching nucleotides) between multiple random sequences are given and are used to establish statistical criteria for ascertaining the significance of block identities shared in r out of s sequences. The statistically significant block identities within and between the Ig-kappa-gene sequences are ascertained, and alignment maps based on these similarities are constructed. The human and rabbit sequences (especially in the noncoding regions) and the human and mouse sequences (on the coding regions) show a similarity much stronger than that between the mouse and rabbit sequences. The existence of several highly significant shared oligonucleotides occurring in alignment with each other or with respect to the J- and C-gene segments suggests a configuration of multiple control sites. Discussion and interpretations of the form and distribution of the block identities are given.